1k citations · 8.3k across the 79 of their papers we have counts for
3 papers · 2 filters
Bringing manifold learning and dimensionality reduction to SED fitters
Shoubaneh Hemmati, Peter Capak, Milad Pourrahmani +8
We show unsupervised machine learning techniques are a valuable tool for both visualizing and computationally accelerating the estimation of galaxy physical properties from photome…
Horizon-AGN virtual observatory -- 2: Template-free estimates of galaxy properties from colours
Iary Davidzon, Clotilde Laigle, Peter L. Capak +11
Using the Horizon-AGN hydrodynamical simulation and self-organising maps (SOMs), we show how to compress the complex data structure of a cosmological simulation into a 2-d grid whi…
The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Analysis and Data Release 2
Daniel C. Masters, Daniel K. Stern, Judith G. Cohen +11
The Complete Calibration of the Color-Redshift Relation (C3R2) survey is a multi-institution, multi-instrument survey that aims to map the empirical relation of galaxy color to red…